{"id":"W2035530287","doi":"10.3946/kjme.2009.21.2.97","title":"Application of Computerized Adaptive Testing in Medical Education","year":2009,"lang":"en","type":"article","venue":"Korean journal of medical education","topic":"Radiology practices and education","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Licensure; Test (biology); Computerized adaptive testing; Medical education; Final examination; United States Medical Licensing Examination; Educational measurement; Medicine; Physical examination; Psychology; Family medicine; Medical school; Pedagogy; Psychometrics; Curriculum; Surgery; Clinical psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009557616,0.0004948362,0.0004900633,0.003438749,0.0003111051,0.001190704,0.001062155,0.001093131,0.00430932],"category_scores_gemma":[0.03916157,0.0002129064,0.0004556533,0.002816308,0.0007532771,0.001107915,0.001460464,0.001104804,0.001034789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008301372,"about_ca_system_score_gemma":0.001783688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002183705,"about_ca_topic_score_gemma":0.001533789,"domain_scores_codex":[0.9872984,0.008334561,0.0008246657,0.0007259844,0.002561022,0.0002552197],"domain_scores_gemma":[0.9776669,0.01490324,0.0009913208,0.001579975,0.004246521,0.0006120005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002441098,0.0004146815,0.033679,0.0004572618,0.00004810807,0.0002730214,0.0004959414,0.001388445,0.001888324,0.003803476,0.004838587,0.9524691],"study_design_scores_gemma":[0.0009336486,0.008553848,0.4766706,0.005481292,0.00055051,0.01701806,0.003306913,0.08412512,0.02621447,0.07755625,0.2990477,0.0005415375],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2823285,0.03485053,0.4922917,0.01741343,0.003110853,0.007108158,0.001750342,0.005707936,0.1554387],"genre_scores_gemma":[0.694804,0.00835554,0.2868406,0.002435096,0.0006348284,0.00215064,0.0005145161,0.0001059122,0.00415883],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009557616,"threshold_uncertainty_score":0.05054611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02739898020567746,"score_gpt":0.3718914314650447,"score_spread":0.3444924512593672,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}